docstr: Loads the model from the provided checkpoint.
  
  :param checkpoint: (str) Path to target checkpoint file.
docstr_tok: ["Loads","the","model","from","the","provided","checkpoint",".",":","param","checkpoint",":","(","str",")","Path","to","target","checkpoint","file","."]
code: def load(self, checkpoint, **kwargs):
      """
      Loads the model from the provided checkpoint.
  
      :param checkpoint: (str) Path to target checkpoint file.
  
      """
      with open(checkpoint, "rb") as f:
          state = pickle.load(f)
  
      state_id = ray.put(state)
      ray.get(
          [
              worker.set_state.remote(state_id)
              for worker in self.remote_workers
          ]
      )
  
imports: import itertools
  import logging
  import pickle
  import numpy
  import ray
  from zoo.common.utils import enable_multi_fs_load, enable_multi_fs_save
  from zoo.orca.data.ray_xshards import RayXShards
  from zoo.orca.learn.dl_cluster import RayDLCluster
  from zoo.orca.learn.tf2.tf_runner import TFRunner
  from zoo.orca.learn.ray_estimator import Estimator
  from zoo.orca.learn.utils import maybe_dataframe_to_xshards, dataframe_to_xshards, convert_predict_xshards_to_dataframe, update_predict_xshards, process_xshards_of_pandas_dataframe
  from zoo.orca.data.utils import process_spark_xshards
  from zoo.ray import RayContext
label_desc: Use image node_id 8 for calling the TensorFlow2Estimator obj's underlying member method code with example usage: obj.load(checkpoint) without return types